co-founder & ceo @fluidstack

Joined September 2020
Gary Wu retweeted
Our convictions
28
42
15
375
121,368
Really happy to finally announce our $830m Series A. It has been an absolute privilege to be able to work at the very frontier, doing our best to ride the curve of the exponential. We have an incredibly talent dense team and are hiring aggressively - please reach out!
In January, Fluidstack raised an $830M Series A at a $7.5B valuation, led by Situational Awareness, with participation from world-leading investors. Fluidstack builds infrastructure for the leading AI labs - our goal is to be the fastest on the planet at deploying hundreds of gigawatts of compute. As we stand at the event horizon of the singularity, humanity’s best chance is if democracies, with error correcting institutions, free speech, and checks on power, imbue those same principles into superintelligence. Whoever deploys frontier compute infrastructure fastest will decide whether Al expands human freedom or shrinks it. We are hiring - come join us.
16
4
2
159
20,904
We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. Speed and scale are our key differentiators. Join @fluidstack to build civilization-scale infrastructure for AI. Software Engineer: fluidstack.io/jobs/software-… Product Engineer: fluidstack.io/jobs/product-e… Apply now or DM me.
2
13
4
45
19,847
Gary Wu retweeted
SemiAnalysis x Fluidstack are kicking off GTC with A Full-Stack AI Infra GPU Hackathon Power to Prefill, Dirt to Decode Build with the best, win prizes, and hear @marksaroufim GPU MODE, @cHHillee Thinking Machines, Thomas Raoux OpenAI, @garywu Apply below luma.com/SAxFSHack
7
8
1
91
21,219
Incredibly excited for @fluidstack to partner with @AnthropicAI and help build a world of abundant intelligence. We are hiring - reach out if you want to work at the frontier!
For the first time, Anthropic is building its own AI infrastructure. We’re constructing data centers in Texas and New York that will create thousands of American jobs. This is a $50 billion investment in America. anthropic.com/news/anthropic…
2
1
35
6,024
Gary Wu retweeted
Top tier swag game from the @fluidstack team🧢 look at the GB200 set!
4
2
37
6,157
jensen liked our gb200 legos
3
1
2
37
12,693
lego lithography means lego gpus as well
more companies should make Lego sets of their products the ASML lithography Lego rocks
11
8
2
225
30,884
Gary Wu retweeted
I wrote something about working at TSMC. Linked below.
20
29
10
604
83,596
Gary Wu retweeted
Nicer video of Alfie cleaning an office.. next up, we’re working with Buck Lewis ( issuu.com/risd/docs/risdxyz_… ) to redesign Alfie to be more ✨🫧⚡️
16
20
7
216
44,218
Gary Wu retweeted
An early timelapse video of Alfie, the general purpose teleop robot we've been building at @prosper Here it cleans a kitchen table, wipes the surface, rinses dishes in the sink before placing them in the dishwasher, throws trash, and puts other items away.
164
390
219
2,010
648,804
spent so many hours trying to get around context window limitations and now we have 32k. magical.
6
1
26
3,595
The context switching penalty when trying to debug an LLM chain 20 calls long is the worst I've ever experienced.
1
39
7,531
I actually hate prompt engineering its so unreliable and sensitive. "Ignore irrelevant information". "Think step by step". "Therefore the hypothesis is:" Why can't you just "Do what I want"
13
2
32
6,157
Technical moat for 95% of generative AI 'products' right now is zero. Most of these products are features that can be hacked together in a week. Market structure for these products will approach perfect competition.
19
25
9
419
91,821
As the field of machine learning advances, the alignment problem is becoming increasingly concrete. In a new report, I present the key high-level arguments for expecting AGI to be misaligned, grounded in technical details of deep learning. drive.google.com/file/d/1TsB… Thread:
5
56
10
258
"Language Models Can Teach Themselves to Program Better" This paper changed my thinking about what future langauge models will be good at, mostly in a really concerning way. Let's start with some context: [1/11]
41
600
119
3,001
sauna is a better invention than the internet fight me
2
9
why are there no sauna startups
2
5